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Ribosome Profiling02:24

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
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A ribosomal sequence-based oil sensitivity index for phytoplankton groups.

Zoe V Finkel1, Yue Liang1, Deepak Nanjappa1

  • 1Department of Oceanography, Dalhousie University, Halifax, NS, Canada.

Marine Pollution Bulletin
|February 15, 2020
PubMed
Summary

A new phytoplankton group sensitivity index reveals dinoflagellates are most vulnerable to oil and dispersants, while Chrysophytes thrive. This tool aids in assessing microbial responses to environmental changes and pollutants.

Keywords:
CorexitDispersantMesocosmsOil pollutionPhytoplankton groupsRNAseq

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Area of Science:

  • Environmental Science
  • Marine Biology
  • Microbial Ecology

Background:

  • Assessing phytoplankton sensitivity to oil and dispersants is challenging due to species-level variability.
  • Understanding these impacts is crucial for marine ecosystem health and pollution response.

Purpose of the Study:

  • To develop and apply a novel phytoplankton group sensitivity index (PGSI).
  • To quantify and rank the relative sensitivity of major phytoplankton groups to oil and oil-dispersant mixtures.

Main Methods:

  • Utilized ribosome sequence data to develop the PGSI.
  • Applied the PGSI to a mesocosm experiment exposing a natural microbial community to oil and oil-dispersant mixtures.
  • Calculated sensitivity based on the log ratio of species abundance changes in treatment versus control groups.

Main Results:

  • The PGSI identified dinoflagellates as the most sensitive phytoplankton group to both oil and oil-dispersant treatments.
  • Chrysophytes demonstrated a beneficial response to oil exposure, increasing in relative abundance compared to other groups.
  • Diatoms and green algae showed intermediate sensitivity levels.

Conclusions:

  • The developed PGSI effectively quantifies and ranks the relative sensitivity of phytoplankton taxonomic groups.
  • Dinoflagellates are particularly vulnerable to oil pollution, highlighting potential ecosystem shifts.
  • The PGSI offers a versatile tool for assessing microbial community responses to various environmental stressors and pollutants.